Kibana is an open-source data visualization and exploration tool used for log and time series analytics, application monitoring, and operational intelligence use cases. Kibana offers tight integration with Elasticsearch, a popular analytics and search engine, which makes Kibana the default choice for visualizing data stored in Elasticsearch. Kibana is also popular due to its powerful and easy-to-use features such as histograms, line graphs, pie charts, heat maps and built-in geospatial support.

Kibana offers intuitive charts and reports that you can use to interactively navigate vast amounts of log data. You can dynamically drag time windows, zoom into specific data subsets, zoom out to see the bigger picture, and drill down on reports to extract actionable insights from your data.

Kibana offers readily available charts and reports to find trends in your data. You can easily drag time windows, and Kibana will perform aggregations on the fly, allowing you to investigate and understand trends in an interactive fashion.

Capture server logs and push them into your Elasticsearch cluster. Elasticsearch indexes the data and makes it available for analysis in near real-time (less than one second). You can then use Kibana to visualize the data and perform operational analyses like identifying network issues and disk I/O problems. Your on-call teams can perform statistical aggregations to identify root cause and fix issues.

It’s easy to get started with Kibana on AWS. Amazon Elasticsearch Service comes bundled with Kibana. Simply sign into the AWS Management Console, launch your first Amazon Elasticsearch Service domain, load your data, and start analyzing the data from the Kibana end-point for your domain.